compose VS snorkel

Compare compose vs snorkel and see what are their differences.

compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning. (by alteryx)

snorkel

A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel] (by HazyResearch)
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compose snorkel
1 1
467 5,109
1.5% -
5.2 6.2
about 1 month ago almost 2 years ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

compose

Posts with mentions or reviews of compose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-31.

snorkel

Posts with mentions or reviews of snorkel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.

What are some alternatives?

When comparing compose and snorkel you can also consider the following projects:

skweak - skweak: A software toolkit for weak supervision applied to NLP tasks

DeepLearningKit - Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -

snorkel - A system for quickly generating training data with weak supervision

Keras - Deep Learning for humans

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

catanatron - Settlers of Catan Bot Simulator and Strong AI Player